| User | TechnoCat |
| Upload Date | January 27 2025 05:46 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1872
348.2 IPS |
|
|
Image Classification (HP)
|
100% |
5288
983.3 IPS |
|
|
Image Classification (Q)
|
100% |
5977
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3018
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7151
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
32657
38.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
68185
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1888
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
5109
405.3 IPS |
|
|
Object Detection (Q)
|
87% |
7441
597.2 IPS |
|
|
Face Detection (SP)
|
100% |
5439
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
12924
153.6 IPS |
|
|
Face Detection (Q)
|
100% |
20859
247.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5754
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17379
133.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
31549
245.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20608
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
50523
64.9 IPS |
|
|
Style Transfer (Q)
|
98% |
90074
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2956
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13154
485.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21762
805.9 IPS |
|
|
Text Classification (SP)
|
100% |
3147
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1212
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
1206
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2647
45.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2685
46.2 IPS |